This paper presents a theoretical approach to implementation of the “Multi-realization of nonlinear MIMO systems”. This method aims to find state-variable realization for a set of systems, sharing as many parameters as possible. In this paper a special nonlinear multi-realization problem, namely the multi-realization of feedback linearizable nonlinear systems is considered and an algorithm for ...

A fuzzy queuing coherent hierarchical location-allocation model is developed for congested systems. The parameters of the model are approximately evaluated and stated as fuzzy-numbers. The coverage of demand nodes is also considered in an approximate manner and is stated by the degree of membership. Using the queuing theory and fuzzy conditions, a coherent hierarchical model is developed for th...

Changes in technology, economy and society create challenges that force us to rethink the way we develop systems. ModelBased Systems Engineering is an approach that can prove catalytic in this new era of systems development. In this paper we introduce the idea of the modeling in order to realize the vision of Model-Based Systems Engineering and especially we focus on the trade-off path of this ...

In this paper, a valuation method for multi-energy generation plants is presented. The operational flexibility of such plants is modeled using the Energy Hub concept a modeling approach that has been developed in the ”Vision of Future Energy Networks”project at ETH Zurich. The economic value of an Energy Hub including its flexibility is calculated by means of a Monte Carlo simulation method tha...

The present study introduced a novel hierarchical hub set covering problem with capacity constraints. This study showed the significance of fixed charge costs for locating facilities, assigning hub links and designing a productivity network. The proposed model employs mixed integer programming to locate facilities and establish links between nodes according to the travel time between an origin-...

In this paper, we address a new version of the Uncapacitated Single Allocation p-Hub Median Problem (USApHMP) in which transportation costs on each edge are given by piecewise constant cost functions. In the classical USApHMP, transportation costs are modelled as linear functions of the transport volume, where a fixed discount factor on hubhub connections is introduced to simulate economies of ...

A parallel genetic algorithm (GA) implemented on GPU clusters is proposed to solve the Uncapacitated Single Allocation p-Hub Median problem. The GA uses binary and integer encoding and genetic operators adapted to this problem. Our GA is improved by generated initial solution with hubs located at middle nodes. The obtained experimental results are compared with the best known solutions on all b...

This paper introduces a special kind of multi-depot pickup and delivery problem. In contrast to the general pickup and delivery problem (GPDP, see e.g. [19, 31]) all requests have to be picked up at or delivered to one central location which has the function of a hub or consolidation point. In hub transportation networks routes between customers and the hub are often short, i.e. involve only on...